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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 19134
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    Explanations

    social media handles and calls-to-action related to content creation or promotion, such as following on Twitter or subscribing on YouTube

    oai_token-act-pair · gpt-3.5-turbo

    text related to social media engagement and subscription prompts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ä¹ĭ
    -0.75
     amput
    -0.71
    Aid
    -0.71
    ©¶æ
    -0.70
    Marginal
    -0.67
    åħī
    -0.63
     Turing
    -0.62
     Bundy
    -0.61
    lied
    -0.61
     privatization
    -0.60
    POSITIVE LOGITS
     Discord
    1.13
     Patreon
    1.09
    facebook
    1.04
    outube
    0.96
     Twitch
    0.96
     www
    0.94
     facebook
    0.90
     Youtube
    0.89
    twitch
    0.89
     https
    0.87
    Activations Density 0.314%

    No Known Activations